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GitHub / janaghoniem / Fruits-Recognition-Using-Deep-Learning-with-Data-Augmentation

A deep learning project for classifying 130+ fruits using EfficientNet, ResNet, and MobileNet with custom augmentations and SE blocks. Built on the Fruits-360 dataset.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/janaghoniem%2FFruits-Recognition-Using-Deep-Learning-with-Data-Augmentation

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 31.7 MB
Dependencies parsed at: Pending

Created at: 5 days ago
Updated at: 5 days ago
Pushed at: 5 days ago
Last synced at: 4 days ago

Topics: background-replacement, cnn, data-augmentation, deep-learning, efficientnetb0, fruits360, image-classification, image-recognition, keras, mobilenetv2, resnet-50, squeeze-and-excitation, tensorflow, transfer-learning

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